Jeff A. Bilmes
23 papers · 2003–2022 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird
π
Academic Marathon
(19)
π§
Keyword Pioneer
π
Conference Polyglot
(4)
π
Keyword Trendsetter Combo
(3)
π±
Topic Pioneer
π
Keyword Champion
(2)
π
Century Club
(23)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(59)
Conferences
NIPS (19)
EMNLP (2)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
submodular optimization
(7)
submodular function
(7)
combinatorial optimization
(5)
submodular minimization
(2)
sensor placement
(2)
semi-supervised classification
(2)
label propagation
(2)
approximation algorithm
(2)
semi-supervised learning
(2)
active learning
(2)
image segmentation
(1)
ensemble learning
(1)
convex optimization
(1)
bayesian inference
(1)
probabilistic modeling
(1)
catastrophic forgetting
(1)
k-means clustering
(1)
online learning
(1)
latent dirichlet allocation
(1)
manifold regularization
(1)
Papers
Retrospective Adversarial Replay for Continual Learning
NIPS 2022
Constrained Robust Submodular Partitioning
NIPS 2021
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
NIPS 2019
Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
NIPS 2018
Diverse Ensemble Evolution: Curriculum Data-Model Marriage
NIPS 2018
Deep Submodular Functions: Definitions and Learning
NIPS 2016
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
NIPS 2015
Submodular Hamming Metrics
NIPS 2015
Learning Mixtures of Submodular Functions for Image Collection Summarization
NIPS 2014
Divide-and-Conquer Learning by Anchoring a Conical Hull
NIPS 2014
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions
NIPS 2013
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
NIPS 2013
Submodular-Bregman and the LovΓ‘sz-Bregman Divergences with Applications
NIPS 2012
Online Submodular Set Cover, Ranking, and Repeated Active Learning
NIPS 2011
On fast approximate submodular minimization
NIPS 2011
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
JMLR 2010
Submodularity Cuts and Applications
NIPS 2009
Label Selection on Graphs
NIPS 2009
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
NIPS 2009
Multi-dynamic Bayesian Networks
NIPS 2006
The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments
EMNLP 2005
Part-of-Speech Tagging using Virtual Evidence and Negative Training
EMNLP 2005
Factored Language Models and Generalized Parallel Backoff
NAACL 2003